高层建筑地震反应的分散最优迭代学习控制研究

汪权; 庄嘉雷; 王建国; 钱锋

doi:10.13204/j.gyjz201302004

高层建筑地震反应的分散最优迭代学习控制研究

doi: 10.13204/j.gyjz201302004

1.
合肥工业大学土木与水利工程学院,合肥230009

基金项目:

国家自然科学基金项目(11172087);土木工程防灾减灾安徽省工程技术研究中心项目(教秘[2007]368号);中央高校基本科研业务费专项资金资助(2010HGBZ0605,2011HGQC1030)

详细信息

作者简介:
汪权,男,1981年出生,博士,讲师. 电子信箱:wqhfut@163.com

中图分类号: TU973.31
计量
- 文章访问数: 115
- HTML全文浏览量: 7
- PDF下载量: 39
- 被引次数: 3
出版历程
- 收稿日期: 2012-12-18
- 刊出日期: 2013-02-20

DECENTRALIZED OPTIMAL ITERATIVE LEARNING CONTROL OF SEISMIC RESPONSE OF TALL BUILDINGS

1.
School of Civil and Hydraulic Engineering,Hefei University of Technology,Hefei 230009,China

摘要

摘要: 针对地震作用下高层建筑结构的振动控制方法进行研究,引入分散控制的策略,将线性二次型最优控制(LQR)与迭代学习控制(ILC)算法原理相结合,提出分散最优迭代学习控制(Decentralized OptimalIterative Learning Control,DOILC)算法并应用于高层结构振动控制中。对某20层钢结构Benchmark结构模型进行数值计算与分析,结果表明,采用分散控制策略的DOILC算法与传统集中控制策略一样可以有效地抑制结构地震反应,相对于集中控制的单一失效分散控制系统的可靠性更强且数据实时处理效率大为提高。
- 高层建筑 /
- 地震反应 /
- 集中控制 /
- 分散控制 /
- 最优迭代学习
Abstract: Methods for vibration control of tall buildings under earthquakes were studied.By introducing the decentralized control strategy and combining the linear quadratic optimal control and iterative learning control(ILC),an algorithm of decentralized optimal iterative learning control(DOILC) was presented for the decentralized control of tall buildings vibration.A typical 20-storey seismically excited building was used for comparing the performance of the two control strategies.The results indicated that the decentralized control strategy could effectively mitigate structural seismic response as well as the traditional centralized control strategy but was superior in enhancing the reliability and more efficient in the data real-time processing of the control system.
- tall building /
- seismic response /
- centralized control /
- decentralized control /
- optimal iterative learning

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参考文献(10)

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[10] 汪权,王建国,张鸣祥.结构地震反应线性二次型最优迭代学习控制[J].应用科学学报,2010,28(2):197-202.

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